Intelligent Evaluation Model for Cementing Quality Based on GA-SVM and Application
The cementing quality is directly related to the normal operation of the gas well,therefore,the evaluation of cementing quality is key to the correctly use the gas well as well as to take measures to protect the gas well.In this paper,four first wave amplitudes at the same depth point when using the borehole compensated sonic logger with double transceiver technique to carry out the acoustic amplitude log operation are served as the discriminant factors to evaluate the cementing quality.Taking the engineering actual measured data as the learning samples and using the particle swarm optimization to optimize the parameters of support vector machine,this paper established the intelligent evaluation model for cementing quality based on genetic algorithm (GA) and support vector machine (SVM).The model employs the excellent characteristic of SVM which has high speed of solving and could describe nonlinear relation as well as the characteristic of GA which has global optimization.Through test of engineering samples,the research result showed that this model has fast astringency and high precision,providing a new method and approach for the fast and accurate evaluation of the well cementing quality.
genetic algorithm SVM well cementing quality intelligent evaluation
Jingcheng LIU Shunpeng ZENG Zhigang YUAN
College of Petroleum Engineering, Chongqing University of Science and Technology,Chongqing,401331 ,C College of Petroleum Engineering, Chongqing University of Science and Technology,Chongqing,401331 ,C Key Laboratory for Exploitation of Southwestern Resources & Environmental Disaster ControlEngineerin
国际会议
台湾
英文
2730-2734
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）